ArticleJournal of hematology & oncology2020
A single-cell survey of cellular hierarchy in acute myeloid leukemia.
Article in Journal of hematology & oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
74 citing papers in PubMed, 128 citations in OpenAlex.
- Genetic deletion of JAM-C in preleukemic cells rewires leukemic stem cell gene expression program in AML.Blood advances · 2024Trial
- A myeloid-dormant metabolic transcriptome identifies a poor-prognosis subgroup in hyperdiploid multiple myeloma with targetable vulnerabilities.Blood cancer journal · 2026Article
- Article
- Plant-derived exosomes: an emerging delivery platform for cancer therapy.Journal of nanobiotechnology · 2026Review
- Spatiotemporal control of mitoribosome-mediated metabolic reprogramming in cancer: implications for heterogeneity and therapeutic targeting.Frontiers in cell and developmental biology · 2026Review
- Integrative Analysis of Genetic Risk Factors for Acute Myeloid Leukemia Using Mendelian Randomization and Single-Cell RNA Sequencing Validation.International journal of genomics · 2026Article
- From transcriptomic profiling to precision oncology: a bibliometric analysis of RNA sequencing in acute myeloid leukemia.Frontiers in medicine · 2026Article
- Ovarian tissue quality assessment and fertility preservation strategies enabled by multi-omics and artificial intelligence: current applications and clinical perspectives.Frontiers in physiology · 2026Review
- Defining the role of natural killer cells in acute myeloid leukemia through the lens of single-cell omics.Frontiers in immunology · 2026Review
- Article
- hECA v2.0: an AI-ready ensemble cell atlas of single-cell RNA and ATAC sequencing data.Scientific data · 2025Article
- The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes.Nature communications · 2025Article
- Cellular and molecular features of acute myeloid leukemia investigation based on single-cell RNA sequencing.Cancer cell international · 2025Article
- Single-cell sequencing reveals the expansion and diversity of T cell subsets in the bone marrow microenvironment of chronic myeloid leukemia.Genes & diseases · 2025Article
- Human myelocyte and metamyelocyte-stage neutrophils suppress tumor immunity and promote cancer progression.Cell research · 2025Article
- Prognostic Risk Model of Megakaryocyte-Erythroid Progenitor (MEP) Signature Based on AHSP and MYB in Acute Myeloid Leukemia.Biomedicines · 2025Article
- Exploration and Application of Malignant Cell Heterogeneity Analysis with Single-Cell Transcriptome Sequencing Technology.Aging and disease · 2025Review
- Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation.Blood cancer discovery · 2025Article
- HemaScope: A Tool for Analyzing Single-cell and Spatial Transcriptomics Data of Hematopoietic Cells.Genomics, proteomics & bioinformatics · 2025Article
- Resolving Leukemia Heterogeneity and Lineage Aberrations with HematoMap.Genomics, proteomics & bioinformatics · 2025Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
34 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute myeloid leukemia (AML) is a fatal hematopoietic malignancy and has a prognosis that varies with its genetic complexity. However, there has been no appropriate integrative analysis on the hierarchy of different AML subtypes.
methodsUsing Microwell-seq, a high-throughput single-cell mRNA sequencing platform, we analyzed the cellular hierarchy of bone marrow samples from 40 patients and 3 healthy donors. We also used single-cell single-molecule real-time (SMRT) sequencing to investigate the clonal heterogeneity of AML cells.
resultsFrom the integrative analysis of 191727 AML cells, we established a single-cell AML landscape and identified an AML progenitor cell cluster with novel AML markers. Patients with ribosomal protein high progenitor cells had a low remission rate. We deduced two types of AML with diverse clinical outcomes. We traced mitochondrial mutations in the AML landscape by combining Microwell-seq with SMRT sequencing. We propose the existence of a phenotypic "cancer attractor" that might help to define a common phenotype for AML progenitor cells. Finally, we explored the potential drug targets by making comparisons between the AML landscape and the Human Cell Landscape.
conclusionsWe identified a key AML progenitor cell cluster. A high ribosomal protein gene level indicates the poor prognosis. We deduced two types of AML and explored the potential drug targets. Our results suggest the existence of a cancer attractor.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.